docstr: Loads the Estimator and all workers from the provided model_path.
  
  :param model_path: (str) Path to the existing model.
docstr_tok: ["Loads","the","Estimator","and","all","workers","from","the","provided","model_path",".",":","param","model_path",":","(","str",")","Path","to","the","existing","model","."]
code: def load(self, model_path):
      """Loads the Estimator and all workers from the provided model_path.
  
      :param model_path: (str) Path to the existing model.
      """
      state_dict = torch.load(model_path)
      self.load_state_dict(state_dict)
  
imports: import io
  import types
  import logging
  import numbers
  import torch
  import numpy
  from zoo.orca.data.ray_xshards import RayXShards
  from zoo.orca.learn.pytorch.training_operator import TrainingOperator
  from zoo.orca.learn.pytorch.torch_runner import TorchRunner
  from zoo.orca.learn.utils import maybe_dataframe_to_xshards, dataframe_to_xshards, convert_predict_xshards_to_dataframe, update_predict_xshards, process_xshards_of_pandas_dataframe
  from zoo.ray import RayContext
  import ray
  from ray.exceptions import RayActorError
label_desc: Use image node_id 11 for calling the PyTorchRayEstimator obj's underlying member method code with example usage: obj.load(model_path) without return types